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- Tasks: Work on innovative AI techniques to solve complex problems and contribute to impactful research.
- Company: Join J.P. Morgan, a leader in financial services, driving advancements in AI technology.
- Benefits: Enjoy opportunities for remote work, professional development, and participation in top-tier conferences.
- Why this job: Be part of a collaborative team making a difference in AI and financial services.
- Qualifications: PhD in relevant fields, programming skills in Python, and a passion for AI research.
- Other info: Engage with the AI community through publications, workshops, and conferences.
The predicted salary is between 43200 - 72000 £ per year.
As an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in AI and machine learning to contribute to high-impact business applications and the broader AI community.
Your role involves:
- Formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance.
- Contributing to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents.
- Participating in relevant top-tier academic conferences, organizing workshops, and engaging with the AI research community to broaden the impact of your contributions.
Qualifications include:
- PhD in Computer Science, Statistics, Engineering, or related fields.
- Programming skills in Python.
- Proficient understanding of fundamental AI and ML techniques (e.g., algorithms, regularization).
- Practical experience with statistical data analysis and experimental design.
- Curiosity, creativity, resourcefulness, and a collaborative spirit.
- Effective verbal and written communication skills with technical and business audiences.
- Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
- Interest in problems related to the financial services domain.
Preferred qualifications include:
- Research publications in prominent AI/ML venues (e.g., conferences, journals).
- Expertise in Trustworthy AI topics like explainability, safety, robustness, fairness.
- Expertise in developing and using multimodal foundation models.
Join J.P. Morgan AI Research to explore and advance cutting-edge AI research, developing impactful solutions for clients and businesses.
Note: This job posting is active and not expired.
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AI Research Senior Associate - Trustworthy AI employer: JPMorgan Chase & Co.
Contact Detail:
JPMorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Senior Associate - Trustworthy AI
✨Tip Number 1
Engage with the AI research community by attending relevant conferences and workshops. This will not only help you stay updated on the latest trends but also allow you to network with professionals who might provide insights or referrals for the position.
✨Tip Number 2
Showcase your expertise in Trustworthy AI topics by participating in discussions or forums online. Contributing your thoughts on explainability, safety, and fairness can help you stand out as a knowledgeable candidate.
✨Tip Number 3
Collaborate on open-source projects related to AI and machine learning. This practical experience not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your previous research publications and their impact during interviews. Being able to articulate the significance of your work will show your depth of knowledge and ability to contribute to high-impact business applications.
We think you need these skills to ace AI Research Senior Associate - Trustworthy AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and relevant experience in AI and machine learning. Emphasise your programming skills in Python and any publications you've contributed to in AI/ML conferences or journals.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or research that demonstrate your expertise in Trustworthy AI topics.
Showcase Your Research Experience: Detail your research experience, particularly any work related to algorithms, statistical data analysis, and experimental design. Highlight any contributions to open-source software or patents, as these will strengthen your application.
Prepare for Technical Questions: Anticipate technical questions related to AI and ML techniques during the interview process. Be ready to discuss your problem formulation skills and how you approach generating hypotheses and developing models.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight any publications or presentations you've made, especially those related to AI and ML. This will demonstrate your expertise and commitment to the field.
✨Demonstrate Technical Proficiency
Since programming skills in Python are essential, be ready to discuss your coding experience. You might even be asked to solve a problem on the spot, so brush up on your algorithms and data structures beforehand.
✨Engage with the AI Community
Mention any conferences or workshops you've attended or organised. This shows your active participation in the AI community and your willingness to collaborate with others in the field.
✨Communicate Clearly and Effectively
Practice explaining complex concepts in simple terms. You'll need to communicate with both technical and business audiences, so being able to articulate your ideas clearly is crucial for this role.
